

Data Scientist Consultant
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist Consultant for a 6-month remote contract, paying $55-85 per hour. Requires a Bachelor’s/Master’s in a quantitative field, 3-6+ years in data science (energy industry preferred), proficiency in Python and SQL, and strong predictive modeling skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#SQL (Structured Query Language) #ML (Machine Learning) #Data Management #Datasets #Python #Computer Science #Matplotlib #TensorFlow #Statistics #Data Pipeline #Visualization #Data Science #Forecasting #Regression #Predictive Modeling #Cloud #Libraries #Azure
Role description
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We are seeking a highly analytical and mission-driven Data Scientist for a contract position developing and enhancing forecasting models to support the needs of Olivine’s electric utility clients. This position is ideal for someone with strong expertise in predictive modeling, a deep understanding of time-series analysis, and a passion for applying data science in the energy sector. We are seeking only direct contracting with USA-based candidates at this time. This is a remote role. What you bring
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a
related quantitative field.
3–6+ years of relevant professional experience in a data scientist or analytics role; energy industry
experience strongly preferred.
Knowledge of regressions models and performance metrics (like R2, MSE, RMSE, and
MAPE)
Proficiency in Python and SQL
Demonstrated experience with machine learning and data science libraries (e.g., scikit-
learn, matplotlib, Statsmodels, TensorFlow).
Demonstrated experience with building reliable up-to-date predictive models used to
drive business decisions (preferably in forecasting applications) by managing numerous datasets.
Ability to interpret complex data and build compelling visualizations to tell a story and
present insights.
Excellent written and verbal communication skills.
Experience working with cloud platforms (e.g., Azure) is a plus.
Familiarity with energy markets, demand response, or grid optimization is a significant
advantage. What you will do You will support internal teams developing models to provide actionable forecasts in service of Olivine’s implementation of Demand Response (DR) and Distributed Energy Resource (DER) programs.
Develop forecasting models to predict key factors supporting our utility programs
Analyze large and complex datasets to identify trends, patterns, and actionable insights
in support of energy and climate-focused programs.
Design, build, and validate predictive models and/or machine learning algorithms to
support operational forecasting and optimization.
Collaborate with technical staff, program managers, and external partners to translate
business needs into analytical solutions.
Support the implementation of data pipelines to automate and integrate forecasts within
our software.
Provide technical expertise in data management, feature engineering, model
development, and performance evaluation. Who we are Olivine, Inc. is a small and growing distributed energy resources (DER) and grid services company on a mission to create a clean and sustainable environment for everyone in our community. Olivine is leading the way to decarbonize our electrical grid and fight climate change by providing equal and affordable access to clean technologies. This is a 6 month contract role based in the United States with a range dependent on qualifications and experience from 55-85 USD per hour and ineligible for Company's employee benefit package. Direct applicants only. We do not work with recruiters or Agencies
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